| dc.contributor.author | Bhattacharjee, Tapomayukh | |
| dc.contributor.author | Grice, Phillip M. | |
| dc.contributor.author | Kapusta, Ariel | |
| dc.contributor.author | Killpack, Marc D. | |
| dc.contributor.author | Park, Daehyung | |
| dc.contributor.author | Kemp, Charles C. | |
| dc.date.accessioned | 2015-05-06T17:04:00Z | |
| dc.date.available | 2015-05-06T17:04:00Z | |
| dc.date.issued | 2014-09 | |
| dc.identifier.citation | Bhattacharjee, Tapomayukh; Grice, Phillip M.; Kapusta, Ariel; Killpack, Marc D.; Park, Daehyung; & Kemp, Charles C. (2014). “A Robotic System for Reaching in Dense Clutter that Integrates Model Predictive Control, Learning, Haptic Mapping, and Planning”. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014) - 3rd Workshop on Robots in Clutter: Perception and Interaction in Clutter, 14-18 September. | en_US |
| dc.identifier.uri | http://hdl.handle.net/1853/53336 | |
| dc.description | ©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
| dc.description | Presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014) - 3rd Workshop on Robots in Clutter: Perception and Interaction in Clutter, 14-18 September, 2014, Chicago, IL. | |
| dc.description.abstract | We present a system that enables a robot to reach
locations in dense clutter using only haptic sensing. Our system
integrates model predictive control [1], learned initial conditions
[2], tactile recognition of object types [3], haptic mapping, and
geometric planning to efficiently reach locations using whole-
arm tactile sensing [4]. We motivate our work, present a system
architecture, summarize each component of the system, and
present results from our evaluation of the system reaching to
target locations in dense artificial foliage. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.subject | Dense clutter | en_US |
| dc.subject | Haptic sensing | en_US |
| dc.subject | Whole-arm tactile sensing | en_US |
| dc.title | A Robotic System for Reaching in Dense Clutter that Integrates Model Predictive Control, Learning, Haptic Mapping, and Planning | en_US |
| dc.type | Post-print | en_US |
| dc.type | Proceedings | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. Institute for Robotics and Intelligent Machines | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. Healthcare Robotics Lab | en_US |
| dc.contributor.corporatename | Brigham Young University. Department of Mechanical Engineering | en_US |
| dc.publisher.original | Institute of Electrical and Electronics Engineers | |
| dc.embargo.terms | null | en_US |
